Factual package intelligence from PyPI
RAG Citation is an project that combines Retrieval-Augmented Generation (RAG) with automatic citation generation. This tool is designed to enhance the credibility of AI-generated content by providing relevant citations for the information used in generating responses.
pip install rag-citation
PyPI declares 4 unique dependency rules for this release. Environment markers are shown when supplied by the project.
==3.7.5==3.0.1rag-citation publishes 1 wheel and 1 source archive for version 0.1.0. Wheel platform tags: any.
No version-specific Python classifiers are declared.
PyPI lists 4 releases with files. The first dated release is ; 1 release falls within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .